Satoshi Akahane

726 citations
21 papers · 563 indexed · h-index 14
Topics
Adipose Tissue and Metabolism (7 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)Receptor Mechanisms and Signaling (5 papers)
Partner nations
JapanSweden

In The Last Decade

Satoshi Akahane

21 papers receiving 545 citations

Peers

Satoshi Akahane
Comparison fields: 5 of 75
  • Urology 226
  • Epidemiology 152
  • Molecular Biology 149
  • Physiology 143
  • Rheumatology 82
Replace Carl P. Nelson with:
Carl P. Nelson United Kingdom
Thomas S. Heard United States
Bruce Farnsworth Australia
Caroline Manicam Germany
R Julien France
R Lüllmann-Rauch Germany
Stefanie Jörg Germany
T J Torphy United States
Catherine M. Venturini United States
Sonja Matthiesen Germany
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Citations per field
00.5×5.8×
Carl P. Nelson · 1×
Citations per year

Countries citing papers authored by Satoshi Akahane

Since Specialization
Citations

This map shows the geographic impact of Satoshi Akahane's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Satoshi Akahane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Akahane more than expected).

Fields of papers citing papers by Satoshi Akahane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Akahane. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Satoshi Akahane. The network helps show where Satoshi Akahane may publish in the future.

Co-authorship network of co-authors of Satoshi Akahane

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Akahane. A scholar is included among the top collaborators of Satoshi Akahane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satoshi Akahane. Satoshi Akahane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2
CXCR3 AND RELATED CHEMOKINES AS POSSIBLE BIOMARKERS FOR ULCERATIVE INTERSTITIAL CYSTITIS
1
3 71
4 32
5 13
6 17
7 21
8 2
9 9
10 2
11 34
12 58
13 22
14 57
15 27
16 11
17 5
18 26
19 18
20
Suppression of laser-induced choroidal neovascularization by oral tranilast in the rat.
64

About Satoshi Akahane

Satoshi Akahane is a scholar working on Urology, Endocrine and Autonomic Systems and Physiology, having authored 21 papers that have together received 563 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Urology (226 citations), Endocrine and Autonomic Systems (45 citations) and Ophthalmology (58 citations). Satoshi Akahane has collaborated with scholars based in Japan and Sweden. Frequent co-authors include Masuo Akahane, Hiroo Takeda, Yasuhiko Igawa, Osamu Nishizawa, Hiroshi Miyata, Yoshinobu Yamazaki, Masayuki Isaji, Karl‐Erik Andersson, Kohichi Hayakawa and Masato Kitazawa. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Urology and European Journal of Pharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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